CN109472092A - Scientific research and engineering numerical simulation system and method based on cloud computing - Google Patents
Scientific research and engineering numerical simulation system and method based on cloud computing Download PDFInfo
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Abstract
The invention provides a scientific research and engineering numerical simulation system and method based on cloud computing, wherein all layers in the scientific research and engineering numerical simulation system based on cloud computing are established on a cloud base platform, only a display layer is displayed to a user, an intermediate layer and a storage layer are established in the cloud computing system, the storage layer mainly completes storage of data and files generated in the computing process, and the intermediate layer mainly manages and analyzes the data stored in the storage layer, wherein the stored data comprises the data obtained by computing and the data generated in the computing process, and the computing preprocessing steps are continuously adjusted by analyzing the files and the data in the storage layer and using a machine learning method to achieve the purpose of optimization, so that a selection scheme provided for the user is more in line with the user requirements.
Description
Technical field
The present invention relates to technical field of electronic equipment more particularly to a kind of scientific researches based on cloud computing and engineering numerical simulation
System and method.
Background technique
CAE (Computer Aided Engineering) refers to the computer-aided engineering in engineering design, is to support work
The most important tool and means of journey Shi Jinhang innovative design and engineering science man carry out Science and Technology research means it
One, wide range of applications can be applicable to following field: build, reconnoitre, geology, water conservancy, traffic, electric power, mapping, territory,
Environment, forestry etc..The thought of its finite element determines that current either CAE or CFD requires a large amount of computing capability branch
It holds, solution includes: building calculating and cluster, rental or purchase server and cloud computing.However at present by affiliated meter
Calculation machine, which connects together, constitutes computing cluster, while it is desirable to physical basis it is simple, but engineering is complicated and unstable.By renting,
Although purchase server can be completed to calculate, property server is with high costs, difficult in maintenance.It is current by cloud computing solution
The Main way of finite element analysis, but lack complete Systematic Design at present.
With the development of cloud computing technology, computing resource more abundant is that solution engineering and scientific research numerical simulation problem mention
Supply computing resource basic.In cloud infrastructure, Chen Hao in 2012 etc. discloses a kind of based on simics system simulator
Cloud computing analogue system and method.2015, Ruan Jinxi etc. disclosed a kind of CAE data processing method and system based on web.
In the local optimum of cloud framework, Wei Xi in 2017 is triumphant etc. disclose a kind of synchronous cloud emulation data multi-level buffer transmission plus
Speed system.Cloud computing using it is upper mainly include multimedia in terms of, in terms of numerical simulation and in terms of industrial design.It is wherein more
In terms of media, Wang Jing woods in 2012 etc. has applied for that one " a kind of multimedia cloud computing emulation mode (CN201210397892) " is special
Benefit allows user to store and process multimedia application data in a distributed manner in cloud.In terms of industrial design, RW grams of method in 2013
You disclose a kind of system and method for operating remote plant analogue system at top grade.The design of especially 2016 Nian Lan prestige companies
EasyCAE platform integrated the correlations such as OpenFOAM, Calculix, Fluent, CFX, Mechanical, STAR-CCM+
Software, user only need to upload emulation and solve file, select solver, CPU core number are arranged, so that it may be calculated.
Nevertheless, currently based on the computer sim- ulation of cloud platform, there are still following problems in terms of numerical value calculating: though first is that
Scientific research and engineering numerical simulation are so completed by high-performance calculation platform, but reduced the cost not over cloud platform method, it is convenient
User uses.Second is that only computer sim- ulation rather than the Engineering Simulation that are emulated by cloud platform, thus lack for scientific research with
The cloud computing platform of engineering calculation emulation only proposes design opinion currently based on the engineering of cloud computing and scientific research emulation, does not have
The possibility for thering is practice to operate.Do not have at present for scientific research and the collection of a large amount of data of engineering calculation with preservation and application simultaneously
Good method.Third is that lacking the application of artificial intelligence for the processing of data.
Specifically it there is problems:
1, file is uploaded to webpage by user, and there is some potential safety problemss；
2, the nucleus number that the system built needs user oneself that selection is gone to calculate before calculating, brings to engineer and much need not
The difficulty wanted.
3, tradition CAE calculating is that each finite element company (ANSYS, ABAQUS) only provides software service, but all software pins
After sale, it is mutually indepedent that data are generated when calculating and after calculating, and are not fully used, therefore, in data interconnection condition
Under for data application it is very crucial.
In view of the above-mentioned problems, it is necessary to propose a kind of new scientific research based on cloud computing and engineering Numeral Emulation System.
Summary of the invention
The main purpose of the present invention is to provide a kind of scientific research based on cloud computing and engineering Numeral Emulation System and method,
Purport provides one kind first is that can be reduced use cost (property server cost, software cost, maintenance cost), second is that more flexiblely
Design and test, not by time territory restriction, third is that simplifying the process for using of user, fourth is that making full use of number caused by calculating
According to constantly being optimized to system.
To achieve the above object, a kind of scientific research based on cloud computing provided by the invention and engineering Numeral Emulation System, institute
The system of stating includes:
Represent layer for receiving user's request, and is handled request；
Basal layer, for providing computing resource and storage resource；
Accumulation layer, for storing the data generated in the data and calculating process for having completed to be calculated；
Middle layer, for the data that accumulation layer stores to be managed and analyzed；
Wherein, the basal layer includes cloud basic platform.
Preferably, the accumulation layer includes the storage subsystem constructed on cloud basic platform, the storage subsystem packet
Storage production file module and storage environment file module are included,
The storage production file module is for storing the data and file that user is generated in using modules；
The storage environment file module is mainly used for storing the file that system itself generates in operating process.
Preferably, the represent layer includes: the user job subsystem constructed on cloud basic platform, the user job
Subsystem includes user log-in block and operation module；
The user log-in block includes:
Authentication submodule, for being authenticated to user identity；
Authority configuration submodule, for being user setting permission according to user information；
Personalization defines submodule, for realizing user individual setting；
Account management submodule, user to user account information are managed；
The operation module includes:
Pre-treatment submodule obtains correct calculation document for completing pre-treatment operation；
Analytical calculation submodule, for realizing the calculating pretreatment operation and calculating operation of correct calculation document；
Submodule is post-processed, optimization process is used for, so that inconvenient visual data visualization.
Preferably, the middle layer includes: the management service subsystem constructed on cloud basic platform and data analysis
System；
The management service subsystem includes job management module and managing computing resources module；
The job management module is for managing the file that user submits in user log-in block and operation module；
The managing computing resources module is used to that data and screening required when calculating to be called to lead to computing resource waste
Or the file of normal calculating task can not be executed；
The data analytics subsystem includes post-processing interpretation of result module and data analysis and goes privacy module；
The post-processing interpretation of result module is used to analyze post-processing data in management module；
Data analysis and go privacy module for the file in management module and managing computing resources module with
And data are analyzed, and are removed privacy of user part to carry out privacyization processing, are then analyzed remainder data to reach
The purpose of pre-treatment step is calculated to optimization.
Preferably, the system also includes the secure subsystem constructed on cloud basic platform, the secure subsystem is passed through
Wear basal layer, represent layer, accumulation layer and the middle layer of the scientific research based on cloud computing and engineering Numeral Emulation System.
In addition, to achieve the above object, the present invention also proposes a kind of scientific research based on cloud computing and engineering numerical simulation side
Method, which comprises
Step S10 receives the logging request of user；
Step S20, after user completes to log in, whether detection user uploads calculation document；
Step S30 carries out calculating pretreatment to calculation document after user uploads calculation document；
Step S40 carries out solving the data being calculated after calculating to pretreated calculation document calculate.
Preferably, after the step S20 further include:
Step S21 detects whether to complete geometrical model file when user does not upload calculation document；
Step S22 carries out solid modelling, grid dividing, parameter setting and the operation for applying load if nothing.
Preferably, the calculating pre-treatment step in the step S30 includes:
Step S31, by analyzing calculation document, CPU, GPU needed for providing calculating, memory, license and calculating
Time, cost relationship；
Step S32 obtains difference according to CPU, GPU, memory needed for calculating, license and the relationship of calculating time, cost
Numerical procedure selects numerical procedure for user.
Preferably, the step S40 includes:
Step S41 obtains user according to carrying out calculating the pretreated numerical procedure for operating selection to calculation document；
Step S42 carries out solving the data being calculated after calculating according to the numerical procedure that user selects.
Preferably, after the step S30 further include:
Step S31 carries out calculating inspection to calculation document after user uploads calculation document；
Step S32, generation error is reported if examining appearance mistake, repeats step S31, executable until generating
Calculation document；
Step S33 enters if verifying as correctly and carries out calculating pretreated step to calculation document.
Preferably, after the step S40 further include:
Step S50 carries out post-processing operation to the calculation document for completing to solve after calculating, so that inconvenient visual data
Visualization.
Preferably, after the step S50 further include:
Step S51 is using the data and user that generate in the data and calculating process for having completed to be calculated
The data generated in the system carry out privacyization processing；
Step S52, to treated that data are analyzed to optimize and calculate pretreated calculating step through past privacyization.
Of the invention scientific research and engineering Numeral Emulation System based on cloud computing, structure at all levels is established in whole system
On cloud basic platform, wherein being presented to the only represent layer of user, middle layer and accumulation layer are constructed in cloud computing system
, accumulation layer mainly completes the storage to the data and file that generate in calculating process, and middle layer mainly stores accumulation layer
Data be managed and analyze, analyzed by file to accumulation layer and data, with the method for machine learning, constantly
Adjustment calculates pre-treatment step to achieve the purpose that optimization, so that the selection scheme for being supplied to user is more in line with user's requirement,
The data of calculating and last handling process are analyzed simultaneously to achieve the purpose that optimization calculates step and post-processing step.
Using the scientific research of the invention based on cloud computing and engineering Numeral Emulation System, first is that can be reduced use cost, two
It is to design and test more flexiblely, not by time territory restriction, third is that simplifying the process for using of user；Fourth is that making full use of meter
Data caused by calculating, constantly optimize system.
Detailed description of the invention
Attached drawing is as a part of the invention, and for providing further understanding of the invention, of the invention is schematic
Examples and descriptions thereof are used to explain the present invention, but does not constitute an undue limitation on the present invention.Obviously, the accompanying drawings in the following description
Only some embodiments to those skilled in the art without creative efforts, can be with
Other accompanying drawings can also be obtained according to these attached drawings.In the accompanying drawings:
Fig. 1 is that the present invention is based on the schematic diagrames of the scientific research of cloud computing and engineering Numeral Emulation System；
Fig. 2 is that the present invention is based on the flow diagrams of the scientific research of cloud computing and engineering numerical value emulation method；
Fig. 3 is that the present invention is based on the calculating pre-treatment steps in the scientific research of cloud computing and engineering numerical value emulation method；
Fig. 4 is that the present invention is based on the calculating pre-treatment step module knots in the scientific research of cloud computing and engineering numerical value emulation method
Close schematic diagram.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
The technical issues of with reference to the accompanying drawing and specific embodiment is solved to the embodiment of the present invention, used technical side
Case and the technical effect of realization carry out clear, complete description.Obviously, described embodiment is only one of the application
Divide embodiment, is not whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not paying creation
Property labour under the premise of, all other equivalent or obvious variant embodiment obtained all falls within protection scope of the present invention
It is interior.The embodiment of the present invention can be embodied according to the multitude of different ways being defined and covered by claim.
It should be noted that in the following description, understanding for convenience, giving many details.But it is very bright
Aobvious, realization of the invention can be without these details.
It should be noted that in the absence of clear limitations or conflicts, each embodiment in the present invention and its
In technical characteristic can be combined with each other and form technical solution.
The invention proposes a kind of scientific research based on cloud computing and engineering Numeral Emulation System and method, purport provides one kind one
It is that can be reduced use cost (property server cost, software cost, maintenance cost), second is that design and test more flexiblely,
Not by time territory restriction, third is that simplify user process for using,；Fourth is that making full use of data caused by calculating, constantly
The system that system is optimized.
It is referring to Fig.1, described to include: based on the scientific research of cloud computing and engineering Numeral Emulation System in the present embodiment
Represent layer for receiving user's request, and is handled request；
Basal layer, for providing computing resource and storage resource；
Accumulation layer, for storing the data generated in operational process；
Middle layer, for the data that accumulation layer stores to be managed and analyzed.
Structure at all levels is established on cloud basic platform in whole system of the invention, wherein being presented to only opening up for user
Existing layer, middle layer and accumulation layer are constructed in cloud computing system, and accumulation layer is mainly completed to generating in calculating process
The storage of data and file, middle layer is mainly managed and analyzes to the data of accumulation layer storage, by accumulation layer
File and data are analyzed, and with the method for machine learning, constantly adjustment calculates pre-treatment step to achieve the purpose that optimization,
So that the selection scheme for being supplied to user is more in line with user's requirement, while the data of calculating and last handling process are analyzed
To achieve the purpose that optimization calculates step and post-processing step.
Basal layer: i.e. cloud basic platform, cloud basic platform are the cloud computing basic platforms that each technology company has built, than
Such as Ali's cloud, Tencent, Amazon AWS provide the computing resource and storage resource on basis for total system.Cloud basic platform is main
The calculating service and storage service of whole system are undertaken, the calculating and storage service carried out in whole system is all in cloud platform
Upper progress, in order to improve arithmetic speed and memory space.
About arithmetic speed is improved, arithmetic speed is mainly improved by the Cloud Server of purchase multi-core CPU and high memory,
About memory space is increased, it can either expand cloud disk by constantly carry cloud disk to realize.
Accumulation layer: using storage subsystem as core, memory module includes storage production file module and storage environment file
Module, the two modules focus primarily in the storage subsystem of cloud basic platform, and storage production file module mainly stores user
The modules such as job management module, managing computing resources module are being run using user log-in block, operation module and system
The data and file generated in the process.Such as user information file (user's registration, login, calculate usage record information), and calculate
Cache file (user's geometrical model file, job file post-process the visualization result file of acquisition).
Storage environment file module mainly stores the file that system itself generates in operating process, i.e., logs in operation user
It is configured in the module processes such as module, operation module, job management module, managing computing resources module to operate normally module
Software document and system file.
Middle layer: including management service subsystem and the big system of data analytics subsystem two.Management service subsystem is divided into
Job management module and two modules of managing computing resources module, job management module mainly manage user in user log-in block
And the files such as geometrical model file, job file, visualization result file submitted in operation module, managing computing resources mould
Block, which mainly manages, calls our the CPU, GPU required when calculating using computing module, memory, license etc. and sieve
Looking into a large amount of malice or discarded record leads to computing resource waste or can not execute normal calculating task.Therefore job management is being called
When module and managing computing resources module, the data file of memory module will enter in the two modules, be managed with it is whole
It closes, to facilitate analysis system to call.Data analytics subsystem is divided into post-processing interpretation of result module and data analysis and goes privacy
Change two modules of module, post-processing interpretation of result module mainly analyzes post-processing data in management module, by continuous
Ground analysis and regulation calculates post-processing step to achieve the purpose that optimization, and data are analyzed and go privacy module mainly by management
Privacy is analyzed and gone to the file and data calculated in whole process in module, is calculated by continuous analysis and regulation pre-
Processing step is to achieve the purpose that optimization, so that the selection scheme for being supplied to user is more in line with user's requirement.
The specific process flow of privacyization is gone in data analysis are as follows:
Data source: user, which logs in, to be generated data, the data of input model, design document, calculates data.
Design document: constitutive model that user uses, applies load at grid dividing.User is also divided into using constitutive model
Self-built (from developing) constitutive model and existing model.
Calculate data: referring in calculating process and at the end of the file that generates, including calculating duration, using
License, CPU, memory, result data, post-processing result etc..
Data processing: it saves, manage (protecting its safety), paid complete save of having ready conditions (makes next time for the user
With).
Data save: the data completely saved: user's logon data, user pre-process habitual scheme, use or
Constitutive model that the included user of system gets used to calculates data file；The data saved as far as possible: user is self-built (from developing)
Constitutive model, user's design document (grid division, application load, the calculation document of preparation), user model file.
Data management: safe preservation is wanted for user's logon data, Habit Preference data.The data beneficial for system,
After the file that mainly self-built (from the developing) constitutive model of user, design document, model file, calculating generate obtains user's agreement
Carry out preservation processing.
Data use purpose: first is that quickly analyze user study field according to user preference, provide recommendations (model recommendation,
Constitutive model is recommended, calculates pretreatment recommendation and post-process and recommend), second is that shortening pretreatment time according to information.
Represent layer: using user job subsystem as core, user job subsystem is user oriented representation system, including
Logging in system by user module and operation module, logging in system by user module mainly includes authentication, authority configuration, personalized fixed
Justice and four submodules of account management, while this four submodules are run, data and file will enter memory module
In.Operation module is nucleus module, including three pre-processing module, analytical calculation module and post-processing module submodules.
Authentication submodule, for being authenticated to user identity；Authority configuration submodule, for according to user information
For user setting permission；Personalization defines submodule, for realizing user individual setting；Account management submodule, user couple
User account information is managed；Pre-treatment submodule, in user's not upper transmitting file, complete paired data pre-treatment to be grasped
Make；Analytical calculation submodule, for completing the calculating pretreatment operation of data；Submodule is post-processed, for optimizing calculating process.
Referring to Fig. 4, system of the invention, by utilizing data memory module, data management module and the number in system
According to analysis module, by machine learning, constantly the data in system is stored, managed and analyzed, to reach constantly
To the optimization purpose of calculating pretreatment in system.
In addition, the scientific research of the invention based on cloud computing and engineering Numeral Emulation System further include secure subsystem: safety
Subsystem is the entire most important part of software of protection through all four modules.Secure subsystem mainly for data with
Two parts of system are protected, and are gone privacy by data and are destroyed the means such as initial data and recovery system to realize
The function.
By taking cloud basic platform is Ali's cloud as an example, in Ali's cloud, snapshot is passed through for the data of privacy of user shape
Formula is packaged to user, other data save in systems by way of also by snapshot, is then carried out rollback cloud disk and is realized system
The recovery of system.If current system goes wrong, it is desirable to a certain moment before being restored to the data of one piece of cloud disk, Er Qieyi
Snapshot is created for cloud disk, the realization of rollback disk function can be used.In system reducing, come using Docker container technique real
Existing system reducing.In addition, in the present system, Xshell and Xftp plug-in unit is used in terms of task deployment.In addition, it is contemplated that production visitor
The complexity and APP of family end APP existing compatibility issue between the end PC, Android end, the end IOS, this system use Web net
The form of page realizes user interface.
Website is built using LAMP framework, LAMP refers to the whole set of system to cooperate and related software,
In above-mentioned module,
Pre-processing module mainly has two parts content: solid modelling and grid dividing.
Solid modelling:
The present invention provides two kinds of body modeling methods: it is top-down with it is bottom-up.Top-down carry out solid modelling
When, user defines the highest pel an of model, and such as ball, prism, referred to as primitive, program then defines relevant face, line automatically
And key point.User utilizes these advanced direct constructive geometry models of pel, such as two-dimensional circle and rectangle and the block of three-dimensional,
Ball, cone and column.No matter modeled using top-down or Bottom-up approach, with per family can be using Boolean calculation come data splitting
Collection, thus " sculpture goes out " physical model.The present invention provides complete Boolean calculation, such as it is added, subtracts each other, intersecting, dividing
It cuts, bond and is overlapped.When creating complicated physical model, the boolean operation of line, face, body, primitive can be reduced considerable
Modeling work amount.The present invention also provides the functions of dilatory, extension, rotation, mobile, extension and copy physical model pel.It is attached
The function of adding further includes that circular arc constructs, tangent line constructs, is mutually shipped by dilatory with rotation generation face and the automatic of body, line and face
Calculate, automatic chamfering generate, for grid dividing hard spot foundation, movement, copy and deletion.Bottom-up carry out solid modelling
When, the upward tectonic model of the pel of user from lowermost level, it may be assumed that user defines key point first, be then successively relevant line,
Face, body.
Grid dividing:
The present invention provides easy to use, high quality the functions that grid dividing is carried out to CAD model.Including four kinds of grids
Division methods: extend and divide, image division, freely divide and adaptively divide.Extending grid dividing can be by a two-dimensional grid
Extend into a three-dimensional grid.Image grid dividing allows user that geometrical model is resolved into simple several parts, then selects
Suitable cell attribute and grid control, generate image grid.Free mesh device function of the invention is very powerful, can be right
Complex model directly divides, and avoids each section grid when user is respectively divided and then assembles to various pieces and mismatches band
The trouble come.Adaptive meshing algorithm is after generating with the physical model of boundary condition, and user's instruction program is automatic
Ground generate finite element grid, analysis, estimation grid discretization error, then redefine sizing grid, again analytical calculation, estimate
The discretization error of grid is counted, until error is lower than user-defined value or reaches user-defined solution number.
Analytical calculation module:
Analytical calculation module include structural analysis (can carry out linear analysis, nonlinear analysis and nonlinearity analysis),
Hydrodynamic analysis, electromagnetic field analysis, Analysis of The Acoustic Fields, Piezoelectric analysis and multiple physical field coupling analysis, analog is a variety of
The interaction of physical medium has sensitivity analysis and optimization analysis ability；
Post-processing module:
The present invention provides two kinds of preprocessors: general preprocessor and time history preprocessor.
General preprocessor is also referred to as POSTl, for analyze some sub-step for handling entire model and being walked in some load,
Or under some result sequence or certain specific time or frequency as a result, such as structural static solve in load step 2 most
Afterwards-a sub-step pressure or Transient Dynamics solve in displacement, velocity and acceleration etc. of the time when being equal to 6 seconds.
Time history preprocessor is also referred to as PosT26, specifies node for analyzing model within the scope of processing specified time
On certain result items at any time or the situation of change of frequency, such as displacement in transient dynamic analysis on structure node,
Velocity and acceleration from 0 second to 10 second changing rule.
There are two types of the manageable data types of preprocessor: first is that master data, refers to that each node solution is derived from
It being solved by degree, displacement tensor is solved to for structure, other types are solved there are also the magnetic potential etc. that the hot temperature solved, magnetic field solve,
These result items are known as node solution；Second is that derived data, refers to the result data according to derived from master data, usually calculates every
Derived data on all nodes of a unit, all points or mass center, so also referred to as unit solution.Different analysis types have
Different unit solutions has stress and strain etc. for structure solution, other thermal gradients and heat flow, magnetic field solution for solving such as heat
Magnetic flux etc..
Using the scientific research of the invention based on cloud computing and engineering Numeral Emulation System, first is that by the upper transmitting file of user
And generated file is stored in Cloud Server in calculating process, second is that setting calculate pre-treatment step, system by pair
Calculation document is analyzed, and is provided CPU, GPU needed for calculating, memory, license and the relationship for calculating time, cost, is provided meter
Calculation scheme is selected for user；Third is that being led to using data memory module, data management module and data analysis module in system
Machine learning is crossed, constantly the data in system are stored, managed and analyzed, to reach constantly pre- to calculating in system
Processing and etc. optimization purpose.
Secure data area has been done very between our different users and task by NameSpace and container technique
Good isolation, it is usually required mainly for it is to be noted that the management of the port of the opening of container and server port corresponding with container port.
For mainly need to such as pacify knight, DDoS by the safeguard procedures of cloud service provider from extraneous malicious attack
High anti-IP, cloud firewall, Web application firewall etc..
Cloud computing also needs the Railway Project considered: first is that server is in local, once server fail delay machine, needs
Cloud service provider is wanted to solve.For this problem it is also contemplated that being solved using Docker container technique, by Web server
Deployment is also carried out using the mode of Docker container, can fast implement service by means of the mirror image and lightweight of Docker
Migration.Second is that if Cloud Server the problem of there may be leaking datas that cloud service provider provides, therefore also need to consider number
The problem of according to encryption.Third is that cloud computing itself is also a kind of virtualization technology, for from other malicious users in same computer room
Attack Ali's cloud virtualization technology whether can cope with very much it is also indefinite.
In addition, the present invention also proposes a kind of scientific research based on cloud computing and engineering numerical value emulation method, it is described referring to Fig. 2
Method includes:
Step S10 receives the logging request of user；
Step S20, after user completes to log in, whether detection user uploads calculation document；
Step S30 carries out calculating pretreatment to calculation document after user uploads calculation document；
Step S40 carries out solving the data being calculated after calculating to pretreated calculation document calculate.
Specifically, user is by user log-in block register account number, according to preset format setting code, after registration, logs in
System.In addition, system will carry out authentication to it when user logs in, examine user login information whether qualified, and
It is abnormal etc. whether detection user account occurs.User can also carry out other personalized defining operations by the module, such as
Set head portrait, user name, entry password etc..It is also possible to carry out user authority setting etc. according to user information
Further, whether detection user uploads calculation document, if user uploads calculation document into operation module, the meter
File is calculated to be also stored in memory module；If the not upper transmitting file of user, needs in the pre-processing module of operation module
Complete solid modelling and grid dividing, if having completed geometrical model file, need to complete grid dividing, parameter setting with
And the operation such as application load.Wherein, calculation document is the divided complete grid before entering calculating, input constitutive model ginseng
Number applies load, determines that the file after output, the class file are to complete the final step before calculating.Geometrical model file is
Refer to that this class file can only expression model by file caused by the finite element softwares solid modellings such as softwares or ANSYS such as CAD
Shape, size.
After user uploads calculation document, calculating pretreatment is carried out to calculation document, in this step, calculates pretreatment meeting
It is analyzed by data and the analysis information uploaded in privacy module is gone to analyze calculation document, CPU needed for providing calculating,
GPU, memory, license and the relationship for calculating time, cost provide numerical procedure and select for user.Further, operation mould
Analytical calculation module in block carries out solution calculating to calculation document, completes to calculate.
In addition, in another embodiment, further including after the step S40
Step S50 carries out post-processing operation to the calculation document for completing to solve after calculating.
In the present embodiment, further to the calculation document for completing solution calculating, and to the data generated in calculating process
Etc. analyzed, by having completed the data calculated using these, and the data that generate in calculating, further to calculating
Pre-treatment step optimizes.Using this method, the data generated can be made full use of, are carried out to pre-treatment step is calculated
Optimization.Method compared with the prior art only calculates data, and the number of completion has been calculated without reusing
According to being analyzed.
Specifically, the data for having completed to calculate enter the post-processing module in operation module, the number in post-processing module
According to and file can upload to storage subsystem, after being stored, into data management system and analysis system, into data pipe
The data of reason system and analysis system first pass around privacyization processing, then pass through to through past privacyization treated data
Analysis is optimized to pretreatment is calculated.After be uploaded to calculating pretreatment, achieve the effect that optimization；After completing above-mentioned steps, pin
Initial data, recovery system are ruined, and prepares calculating next time.
Based on the above method, expected expense is estimated according to the process of calculating, obtains cost approach.Specifically,
Predictor method is as follows:
Basic expense is calculated according to the occupied CPU core number of calculating process and the memory occupied, according in calculating process
The time of consuming, the license software for calculation expense used obtain estimating expense according to the basic expense of calculating and software overhead,
In addition, taking according to the human cost of service and software cloud storage costimating management service, basic charge is calculated.Finally
Total cost is calculated according to expense of estimating and basic charge, it can be for reference.
In the above method, the load applied in load includes that boundary condition and outside or inside make stress function, in difference
Analysis field in have different characterizations, but can substantially be divided into 6 major class: freedom degree constraint, power (concentrfated load), face carry
Lotus, body load, inertial load and coupled field load.
In addition, the embodiment of the present invention also proposes a kind of computer readable storage medium, the computer readable storage medium
On be stored with cloud computing numerical simulation program, when the cloud computing numerical simulation program is executed by processor realize as above operation.
Programmable logic device can be used to realize in method provided by the invention, and it is soft also to may be embodied as computer program
Part or program module (it include routines performing specific tasks or implementing specific abstract data types, programs, objects, component or
Data structure etc.), such as embodiment according to the present invention can be a kind of computer program product, run the computer program
Product executes computer for demonstrated method.The computer program product includes computer readable storage medium, should
It include computer program logic or code section on medium, for realizing the method.The computer readable storage medium can
To be the built-in medium being mounted in a computer or the removable medium (example that can be disassembled from basic computer
Such as: using the storage equipment of hot plug technology).The built-in medium includes but is not limited to rewritable nonvolatile memory,
Such as: RAM, ROM, flash memory and hard disk.The removable medium includes but is not limited to: and optical storage media (such as: CD-
ROM and DVD), magnetic-optical storage medium (such as: MO), magnetic storage medium (such as: tape or mobile hard disk), can with built-in
Rewrite the media (such as: storage card) of nonvolatile memory and the media (such as: ROM box) with built-in ROM.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (12)
1. a kind of scientific research based on cloud computing and engineering Numeral Emulation System, which is characterized in that the system comprises:
Represent layer for receiving user's request, and is handled request；
Basal layer, for providing computing resource and storage resource；
Accumulation layer, for storing the data generated in the data and calculating process for having completed to be calculated；
Middle layer, for the data that accumulation layer stores to be managed and analyzed；
Wherein, the basal layer includes cloud basic platform.
2. the scientific research according to claim 1 based on cloud computing and engineering Numeral Emulation System, which is characterized in that described to deposit
Reservoir includes the storage subsystem constructed on cloud basic platform, and the storage subsystem includes storage production file module and deposits
Environment file module is stored up,
The storage production file module is for storing the data and file that user is generated in using modules；
The storage environment file module is mainly used for storing the file that system itself generates in operating process.
3. the scientific research according to claim 1 based on cloud computing and engineering Numeral Emulation System, which is characterized in that the exhibition
Existing layer includes: the user job subsystem constructed on cloud basic platform, and the user job subsystem includes that user logs in mould
Block and operation module；
The user log-in block includes:
Authentication submodule, for being authenticated to user identity；
Authority configuration submodule, for being user setting permission according to user information；
Personalization defines submodule, for realizing user individual setting；
Account management submodule, user to user account information are managed；
The operation module includes:
Pre-treatment submodule obtains correct calculation document for completing pre-treatment operation；
Analytical calculation submodule, for realizing the calculating pretreatment operation and calculating operation of correct calculation document；
Submodule is post-processed, optimization process is used for, so that inconvenient visual data visualization.
4. the scientific research according to claim 1 based on cloud computing and engineering Numeral Emulation System, which is characterized in that in described
Interbed includes: the management service subsystem constructed on cloud basic platform and data analytics subsystem；
The management service subsystem includes job management module and managing computing resources module；
The job management module is for managing the file that user submits in user log-in block and operation module；
When the managing computing resources module is used to call calculating required resource and screening cause computing resource waste or
The calculation document of normal calculating task can not be executed；
The data analytics subsystem includes post-processing interpretation of result module and data analysis and goes privacy module；
The post-processing interpretation of result module be used for in job management module and managing computing resources module post-process data into
Row analysis；
The data analyze and go privacy module for the file and number in management module and managing computing resources module
According to being analyzed, removes privacy of user part to carry out privacyization processing, then remainder data is analyzed to reach excellent
Change the purpose for calculating pre-treatment step.
5. the scientific research according to claim 1 based on cloud computing and engineering Numeral Emulation System, which is characterized in that the system
System further includes the secure subsystem constructed on cloud basic platform, and the secure subsystem runs through the scientific research based on cloud computing
With basal layer, represent layer, accumulation layer and the middle layer of engineering Numeral Emulation System.
6. a kind of scientific research based on cloud computing and engineering numerical value emulation method, which is characterized in that the described method includes:
Step S10 receives the logging request of user；
Step S20, after user completes to log in, whether detection user uploads calculation document；
Step S30 carries out calculating pretreatment to calculation document after user uploads calculation document；
Step S40 carries out solving the data being calculated after calculating to pretreated calculation document calculate.
7. the scientific research according to claim 6 based on cloud computing and engineering numerical value emulation method, which is characterized in that the step
After rapid S20 further include:
Step S21 detects whether to complete geometrical model file when user does not upload calculation document；
Step S22 carries out solid modelling, grid dividing, parameter setting and the operation for applying load if nothing.
8. the scientific research according to claim 6 based on cloud computing and engineering numerical value emulation method, which is characterized in that the step
Suddenly the calculating pre-treatment step in S30 includes:
Step S31, by analyzing calculation document, when CPU, GPU needed for providing calculating, memory, license are with calculating
Between, the relationship of cost；
Step S32 obtains different calculating from the relationship for calculating time, cost according to CPU, GPU, memory needed for calculating, license
Scheme selects numerical procedure for user.
9. the scientific research according to claim 6 based on cloud computing and engineering numerical value emulation method, which is characterized in that the step
Suddenly S40 includes:
Step S41 obtains user according to carrying out calculating the pretreated numerical procedure for operating selection to calculation document；
Step S42 carries out solving the data being calculated after calculating according to the numerical procedure that user selects.
10. the scientific research according to claim 6 based on cloud computing and engineering numerical value emulation method, which is characterized in that described
After step S30 further include:
Step S31 carries out calculating inspection to calculation document after user uploads calculation document；
Step S32, generation error is reported if examining appearance mistake, repeats step S31, until generating executable meter
Calculate file；
Step S33 enters if verifying as correctly and carries out calculating pretreated step to calculation document.
11. the scientific research according to claim 6 based on cloud computing and engineering numerical value emulation method, which is characterized in that described
After step S40 further include:
Step S50 carries out post-processing operation to the calculation document for completing to solve after calculating, so that inconvenient visual data visualization
Change.
12. the scientific research according to claim 11 based on cloud computing and engineering numerical value emulation method, which is characterized in that described
After step S50 further include:
Step S51 is being using this to the data and user that generate in the data and calculating process for having completed to be calculated
The data generated in system carry out privacyization processing；
Step S52, to treated that data are analyzed to optimize and calculate pretreated calculating step through past privacyization.
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